Greg Mathias
Summary
Experienced Full Stack Engineer specializing in Ruby on Rails, API development, and scalable web applications. Passionate about building user-focused solutions that enhance efficiency and engagement in healthcare and research. Seeking to contribute my expertise to a high-impact team focused on improving healthcare technology.
Experience
Software Engineer
Medical University of South Carolina
December 2021 - Present
Charleston, SC (Remote)
- ✨ Develop and maintain full-stack web applications to streamline translational research workflows.
- ✨ Design and optimize APIs for seamless data integration and retrieval.
- ✨ Enhance application performance through database query optimizations and backend improvements.
- ✨ Collaborate with cross-functional teams to implement user-friendly interfaces and workflows.
Data Analyst
TELUS International
January 2018 - April 2022
Remote
- ✨ Analyzed geographic data to refine search accuracy in mapping applications.
- ✨ Provided ground truth data for supervised learning models, enhancing AI-driven search results.
- ✨ Delivered insights to improve system performance and data integrity.
Production Manager
TalkPoint
March 2011 - June 2016
New York, NY
- ✨ Managed live and on-demand webcast productions, ensuring seamless technical execution.
- ✨ Oversaw technical logistics, scheduling, and quality control for high-profile digital events.
- ✨ Worked closely with development teams to improve platform capabilities and user experience.
Education
Master's Degree, Data Science
Eastern University
Spring 2027
Bachelor's Degree, Music
Sierra Nevada University
2007
Certifications
- ✨ Data Science Fellow
Correlation One (2024)
- ✨ TESOL Certification
VIPKid
Involvement
- ✨ Section Leader
Stanford University: Code In Place (April - June 2024)
Skills & Technologies
Full Stack Development: Ruby on Rails, JavaScript, React, TypeScript
API & Backend: RESTful API Design, GraphQL, PostgreSQL, MySQL
Cloud & DevOps: Docker, CI/CD, Git, GitHub, Travis CI
Data & Analytics: SQL, Python, Data Modeling
Healthcare Tech: HL7, FHIR (Familiarity)